{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c83d0099",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "c1=\"#009ad6\"\n",
    "c2='#f15a22'\n",
    "c3='#7fb80e'\n",
    "c4='#6f599c'\n",
    "rho=np.logspace(3,0,61)\n",
    "tin=np.logspace(0.4657,3.4657,61)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "701cde17",
   "metadata": {},
   "outputs": [],
   "source": [
    "data=np.loadtxt('k60.txt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a8e130f6",
   "metadata": {},
   "outputs": [],
   "source": [
    "x=np.loadtxt('')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.6"
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